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Activity Number:
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282
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Type:
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Contributed
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Date/Time:
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Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #306044 |
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Title:
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Model Choice in Time Series Studies of Air Pollution and Mortality
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Author(s):
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Roger Peng*+ and Francesca Dominici and Thomas A. Louis
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Companies:
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Johns Hopkins University and Johns Hopkins University and Johns Hopkins University
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Address:
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615 N. Wolfe Street, E3527, Baltimore, MD, 21205,
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Keywords:
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NMMAPS ; air pollution ; time series ; particulate matter
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Abstract:
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Multi-city time series studies of particulate matter (PM) and mortality and morbidity have provided evidence that daily variation in air pollution levels is associated with daily variation in mortality counts. These findings served as key epidemiological evidence for the recent review of the United States National Ambient Air Quality Standards (NAAQS) for PM. As a result, methodological issues concerning time series analysis of the relation between air pollution and health have attracted the attention of the scientific community and critics have raised concerns about the adequacy of current model formulations. We use a simulation study and analyses of a large multi-city database to characterize model uncertainty in adjusting for seasonal and long-term trends in time series studies of air pollution and mortality.
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